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<p>Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies.</p>

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Fatty acid β-oxidation-associated prognostic model in gastric cancer and functional validation of IL-6 as a potential therapeutic target

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月2日

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  • Chao Qu,
  • Xuetao Yuan,
  • Shuting Yang,
  • Yifan Qiao,
  • Renjianzhi Zhang,
  • Yunhua Wu,
  • Mengke Zhu,
  • Jiayin Du,
  • Gan Li,
  • Rui Zhang,
  • Xuejun Sun,
  • Xuqi Li

摘要

Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies.